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It’s time for
far-reaching intelligence. Optimize your data fabric.

At a “tipping point” for monetizing data, will you emerge ahead of the competition? Yes, if you turn vast data volumes into all-encompassing business intelligence – from edge to core to cloud. By integrating it. Governing it. And delivering it across the fabric. Automatically.

What does it take to achieve this seamless operating model? And how far have your peers progressed? New research from 451 Research, a part of S&P Global Market Intelligence, reveals all.

Webinar: Optimize your data fabric for digital innovation.

Join us in this fireside chat with 451 Research and Hitachi Vantara on the State Of DataOps in 2022 and how Enterprises are using intelligent DataOps to unify data, govern it, and deliver seamless customer experience.

Demystify the hype around data fabrics and see how DataOps can help you build your fabrics to deliver key business outcomes. Learn how you can put data at the heart of decision-making with new AI-driven data management solutions.

Watch Now

Meet Our Experts

Paige Bartley

Senior Research Analyst, Data Management, 451 Research, a part of S&P Global Market Intelligence

Radhika Krishnan

Chief Product Officer, Hitachi Vantara

451 Research

New analyst insight: Building a DataOps strategy for your data fabric.

Independent survey results reveal how your peers are tackling their biggest data management challenges – and where they’re investing for success.

Is your DataOps strategy superior? Or can you take inspiration to evolve it? Find out by exploring all the stats in this business impact brief, from 451 Research.

DataOps strategy for data fabric

Building an edge-to-core data fabric isn’t easy. How far have your peers progressed?

0%

say their organization has a data fabric "in use"

0%

have a data-fabric at proof-of-concept stage

0%

agree that DataOps accelerates data fabric adoption1

So DataOps is the path forward.

But how many firms are hitting

high standards, in key

DataOps areas?

So DataOps is the path forward. But how many firms are hitting high standards, in key DataOps areas?

Only 39%

say they’re highly proficient at innovating and experimenting

at speed, to get data-driven insights to decision-makers

say they’re highly proficient at innovating

and experimenting at speed, to get data-

driven insights to decision-makers

say they’re highly proficient at innovating and experimenting at speed, to get data-driven insights to decision-makers

Only 32%

say they’re highly proficient at measuring

and monitoring data products against KPIs

say they’re highly proficient at measuring and monitoring data products against KPIs

Only 45%

are highly proficient at supporting real-time

collaboration between data consumers

are highly proficient at supporting real-time collaboration between data consumers

But where should you invest, to solve your DataOps challenges? IT leaders are divided over their top priorities, for the next 12 months…

0%

name data virtualization

0%

name analytics and self-service access

0%

name migration to public cloud data lakes and lakehouses

Source: 451 Research’s State of DataOps 2022 survey, commissioned by Hitachi Vantara

No single line of investment will make the difference. So what else should you know, to build a better DataOps strategy?

Is your DataOps strategy ahead of the rest?

Question 1 of 3

Which of these two skills gaps
pose a bigger challenge for
your DataOps strategy?

Data security Data management

It’s a close-run thing…

But you’re in the majority. 53% of data leaders face the same challenge, compared with 48% who say data management expertise – including for data integration and preparation – is a concern.

Either way, it’s clear that a lack of skills is limiting DataOps success.

Next Question Go back

It’s a close-run thing…

48% of data leaders face the same challenge, compared with 53% who say data security expertise is a concern, implying they lack the staff skilled in governing and protecting data.

Many respondents reported both problems. Your peers also identified skills gaps in data engineering (48%), data science (38%) and analytics (34%).

Next Question Go back

Question 2 of 3

Which of these two data management challenges are a bigger problem for your organization?

Data privacy Accessing data

You’re not alone.

In fact, we found that the top three data management concerns were data privacy, security, and regulatory compliance. So, managing access and protecting information is the hottest topic for your peers right now.

Next Question Go back

It’s posing lots of problems.

Many of your peers agreed. 33% said accessing and preparing data was one of their primary challenges. That’s alongside the 27% who named data sprawl as a big issue, and another 27% who said dealing with siloed data was a problem.

Next Question Go back

Question 3 of 3

When you’re not analyzing data, what’s stopping you from deriving insights from it (most often)?

Cost of analysis Quality concerns

We hear that a lot.

Like 35% of your peers, you might feel the complexity of preparing data for analysis outweighs its potential value. But that means you could miss crucial insights hiding in dark data.

That’s why we’re helping our customers save time and money on preparing, managing and governing data with the Lumada DataOps Suite.

Next Go back

If you can’t trust it…

…you can’t use it. 27% of your peers said the same. Yet only 32% are investing in data lineage tools or technologies.

That’s why we’re helping our customers trace lineage and trust every insight with new data quality capabilities. Now, you can combine Collibra’s powerful governance with Lumada Data Catalog’s AI-driven discovery.

Next Go back

We’re at a "tipping point."
Will your DataOps strategy
put you ahead?

What you’ve seen is just the start. Now, explore everything your peers revealed about their approach to agile data management. Learn:

What’s driving data fabric adoption.

Which processes and technologies are slowing down data governance – and blocking innovation.

Which types of IT environment accelerate DataOps adoption.

94% of respondents have data dispersed across at least two public cloud providers

Data Strategy:
New Research

Is your approach to DataOps aligned with bigger business goals? Harvard Business Review surveyed hundreds of your peers. The analysts gave their verdict, highlighting data practices that could put you ahead.

Meet Lumada DataOps

Master vast swathes of data – integrating, managing, analyzing and publishing automatically. Meet the industry’s first intelligent DataOps platform.

1Respondents agreed at least 'to some extent'.

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